Results 141 to 150 of about 189,248 (240)

Brillouin suppression through longitudinal structural variation in high nonlinearity silica holey fibers

We consider longitudinal variation in the fiber structure as a method of increasing the Brillouin linewidth and threshold within high nonlinearity silica holey fibers.
Furusawa, K., Petropoulos, P., Broderick, N.G.R., Richardson, D.J., Yusoff, Z., Monro, T.M., Poletti, F.   +6 more
core   +1 more source

Compact and Interpretable Neural Networks Using Lehmer Activation Units. [PDF]

Entropy (Basel)
Ataei M, Forouzi S, Wang X.
europepmc   +1 more source

Probing Machine Learning Interatomic Potentials on Ion Transport Properties

Advanced Intelligent Discovery, EarlyView.
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia, Ming Hu, Adji Bousso Dieng   +2 more
wiley   +1 more source

Feedforward compensation of piezo nonlinearity for high-precision high-speed atomic force microscopy. [PDF]

Sci Rep
Umeda K, Kodera N.
europepmc   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

Design of a Compact Two-Stage ADC Based on a Nonuniform Flash Architecture for NTC Thermistor Linearization. [PDF]

Sensors (Basel)
Jovanović J.
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Enhanced photoresponsivity and sensitivity in Ag/Bi₂Te₃ heterostructure films for visible light photodetectors. [PDF]

RSC Adv
Mallick G, Kumar PC, Sahoo M, Naik R, Biswal R.   +4 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Enhanced Zero-Bias Rectification in 1D Metal-Double-Insulator-Graphene Diodes for RF Energy Harvesting. [PDF]

ACS Appl Electron Mater
Hemmetter A, Pasadas F, Marin EG, Godoy A, Wang Z, Lemme MC.   +5 more
europepmc   +1 more source